Name: Multivariate Methods and Forecasting with Ibm(r) Spss(r) Statistics (en Inglés)
Price: 73020.00 CLP
Availability: InStock
Author: Aljandali, Abdulkader
ISBN: 9783319859224

portada Multivariate Methods and Forecasting with Ibm(r) Spss(r) Statistics (en Inglés)

Formato

Libro Físico

Autor

Abdulkader Aljandali

Editorial

Springer

Idioma

Inglés

N° páginas

178

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.1 cm

Peso

0.29 kg.

ISBN13

9783319859224

N° edición

Categorías

Econometría
Tecnología de la información
Probabilidad y estadística

Multivariate Methods and Forecasting with Ibm(r) Spss(r) Statistics (en Inglés)

Abdulkader Aljandali (Autor) · Springer · Tapa Blanda

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Reseña del libro "Multivariate Methods and Forecasting with Ibm(r) Spss(r) Statistics (en Inglés)"

This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques. More often than not, regression models involve more than one independent variable. For example, forecasting methods are commonly applied to aggregates such as inflation rates, unemployment, exchange rates, etc., that have complex relationships with determining variables. This book introduces multivariate regression models and provides examples to help understand theory underpinning the model. The book presents the fundamentals of multivariate regression and then moves on to examine several related techniques that have application in business-orientated fields such as logistic and multinomial regression. Forecasting tools such as the Box-Jenkins approach to time series modeling are introduced, as well as exponential smoothing and naïve techniques. This part also covers hot topics suchas Factor Analysis, Discriminant Analysis and Multidimensional Scaling (MDS).